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README.md
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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This model is a fine-tuned version of [google/mobilenet_v2_0.75_160](https://huggingface.co/google/mobilenet_v2_0.75_160) on the imagefolder dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Accuracy: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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### Framework versions
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.9965357967667436
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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This model is a fine-tuned version of [google/mobilenet_v2_0.75_160](https://huggingface.co/google/mobilenet_v2_0.75_160) on the imagefolder dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0117
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- Accuracy: 0.9965
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 0.0899 | 0.6 | 200 | 0.0934 | 0.9711 |
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| 0.026 | 1.19 | 400 | 0.0225 | 0.9942 |
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| 0.0689 | 1.79 | 600 | 1.5236 | 0.7032 |
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| 0.0193 | 2.38 | 800 | 0.0117 | 0.9965 |
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| 0.028 | 2.98 | 1000 | 0.0186 | 0.9919 |
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| 0.0159 | 3.57 | 1200 | 0.0150 | 0.9954 |
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| 0.0194 | 4.17 | 1400 | 0.0369 | 0.9919 |
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| 0.0081 | 4.76 | 1600 | 0.0471 | 0.9850 |
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### Framework versions
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